CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection | Paper Citation Record

Observation d624f6e9-94c8-4739-a759-dc5c27dc38dc · outbound

This paper cites Trajectory data mining: An overview,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Trajectory data mining: An overview,

Reference 1

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Observation 177c6109-1310-4346-a92c-297d0d39af3a · outbound

This paper cites Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study

Reference 2

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Observation b9f0376f-dcb5-4809-a6fc-49c8c3e81401 · outbound

This paper cites Modeling spatial trajectories with attribute representation learning,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Modeling spatial trajectories with attribute representation learning,

Reference 3

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Observation 6b225099-4510-4fb8-a366-80e3a4567e83 · outbound

This paper cites STL: online detection of taxi trajectory anomaly based on spatial- temporal laws,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection STL: online detection of taxi trajectory anomaly based on spatial- temporal laws,

Reference 4

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Observation 91eaa2cc-0a19-4cac-ba49-9b1af4f82543 · outbound

This paper cites ibat: detect- ing anomalous taxi trajectories from GPS traces,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection ibat: detect- ing anomalous taxi trajectories from GPS traces,

Reference 5

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Observation 3339f960-1168-407e-87e2-b5698568ff3e · outbound

This paper cites Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data

Reference 6

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Observation 1a834bff-dc08-459a-a087-2ac6cfff03a9 · outbound

This paper cites Some practical guidance for the imple- mentation of propensity score matching,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Some practical guidance for the imple- mentation of propensity score matching,

Reference 7

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Observation 317aa4ff-f1a3-4da5-a603-57cb0d62dc2e · outbound

This paper cites Inverse probability weighting,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Inverse probability weighting,

Reference 8

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Observation 7b094a11-292b-41c1-a45a-aeeef420f90a · outbound

This paper cites Evolutionary clustering of moving objects,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Evolutionary clustering of moving objects,

Reference 9

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Observation be48be8a-49f1-43af-8508-b76089cc065a · outbound

This paper cites DBSCAN- MS: distributed density-based clustering in metric spaces,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection DBSCAN- MS: distributed density-based clustering in metric spaces,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:44.168969Z

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Observation de3d30b2-df36-46f2-a432-6fd49a92a149 · outbound

This paper cites Trajectory clustering via deep representation learning,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Trajectory clustering via deep representation learning,

Reference 11

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Observation d0ef0a04-f8a1-4701-b048-9aa6bf5348d4 · outbound

This paper cites Computing trajectory similarity in linear time: A generic seed-guided neural metric learning approach,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Computing trajectory similarity in linear time: A generic seed-guided neural metric learning approach,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:44.120687Z

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Observation 39e28941-d870-4e5a-94bf-af82fe45e70f · outbound

This paper cites Deep representation learning for trajectory similarity computation,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Deep representation learning for trajectory similarity computation,

Reference 13

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Observation 0d84a690-431f-469f-bc63-40c048b734d8 · outbound

This paper cites Efficient trajec- tory similarity computation with contrastive learning,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Efficient trajec- tory similarity computation with contrastive learning,

Reference 14

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This paper cites Trajgat: A graph- based long-term dependency modeling approach for trajectory similarity computation,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Trajgat: A graph- based long-term dependency modeling approach for trajectory similarity computation,

Reference 15

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Observation 982a47e8-2742-4695-8259-e699c9188f01 · outbound

This paper cites Effective and efficient trajectory outlier detection based on time-dependent popular route,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Effective and efficient trajectory outlier detection based on time-dependent popular route,

Reference 16

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Observation 73eee7a8-8e05-4a4a-a047-210d1736ec30 · outbound

This paper cites Few-shot learning for trajectory outlier de- tection with only normal trajectories,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Few-shot learning for trajectory outlier de- tection with only normal trajectories,

Reference 17

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Observation 3aee5464-57e4-46b4-aa60-22ad92b6ff80 · outbound

This paper cites Sub-trajectory- and trajectory-neighbor-based outlier detection over trajectory streams,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Sub-trajectory- and trajectory-neighbor-based outlier detection over trajectory streams,

Reference 18

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Observation 39d80601-fd47-4008-ad54-62ef0f3063b4 · outbound

This paper cites Online learning and sequential anomaly detection in trajectories,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Online learning and sequential anomaly detection in trajectories,

Reference 19

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Observation f61c1c49-5de8-4041-adad-932a5ae473e0 · outbound

This paper cites Continuous trajectory similarity search for online outlier detection,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Continuous trajectory similarity search for online outlier detection,

Reference 20

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Observation 975d47f0-5d55-4adc-9075-372673e35b88 · outbound

This paper cites A fast trajectory outlier detection approach via driving behavior modeling,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection A fast trajectory outlier detection approach via driving behavior modeling,

Reference 21

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Observation f1262e39-53b1-4729-b9da-afd41fbbfc50 · outbound

This paper cites Online anomalous trajectory detection with deep generative sequence modeling,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Online anomalous trajectory detection with deep generative sequence modeling,

Reference 22

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Observation a850c537-8258-470b-bd59-bbaa1e1bda44 · outbound

This paper cites Auto-encoding variational bayes,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Auto-encoding variational bayes,

Reference 23

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Observation 36924c70-1ef1-420a-9048-cef9b1cc4e7e · outbound

This paper cites Deeptea: Effective and efficient online time-dependent trajectory outlier detection,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Deeptea: Effective and efficient online time-dependent trajectory outlier detection,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.796943Z

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Observation fb37ca45-99f4-4493-a1e1-dcb8bff6fa5f · outbound

This paper cites Trajectory outlier detection: A partition-and- detect framework,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Trajectory outlier detection: A partition-and- detect framework,

Reference 25

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Observation 7b3ba81b-adaf-4efb-bf73-01d3d3a403db · outbound

This paper cites iboat: Isolation-based online anomalous trajectory detection,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection iboat: Isolation-based online anomalous trajectory detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.748365Z

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Observation 5f4218a3-700c-4315-b0ce-dd200bfc87a5 · outbound

This paper cites Online anomalous subtrajectory detection on road networks with deep reinforcement learning,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Online anomalous subtrajectory detection on road networks with deep reinforcement learning,

Reference 27

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Observation 79d8bb4e-1573-492a-a7f8-769d86a8eb22 · outbound

This paper cites Deeper, broader and artier domain generalization,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Deeper, broader and artier domain generalization,

Reference 28

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Observation 84b96d26-ffb6-4d93-994a-6bb47948912d · outbound

This paper cites Generalizing to unseen domains: A survey on domain generalization,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Generalizing to unseen domains: A survey on domain generalization,

Reference 29

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Observation 48440bc5-e1d6-435c-85ea-47f8725a052e · outbound

This paper cites Metanorm: Learning to normalize few-shot batches across domains,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Metanorm: Learning to normalize few-shot batches across domains,

Reference 30

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Observation 40907325-5b98-4d3a-b02c-1a48b91342db · outbound

This paper cites Stable predic- tion across unknown environments,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Stable predic- tion across unknown environments,

Reference 31

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Observation 3919c788-335d-4117-93d7-66f4fc74d5df · outbound

This paper cites Deep stable learning for out-of-distribution generalization,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Deep stable learning for out-of-distribution generalization,

Reference 32

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Observation fbea609c-ab19-4893-9de2-6e2d2ff4d6ec · outbound

This paper cites Environment inference for invariant learning,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Environment inference for invariant learning,

Reference 33

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Observation 924fdc93-9c3e-4b4e-b23b-b5949b272c71 · outbound

This paper cites Domain-adversarial training of neural networks,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Domain-adversarial training of neural networks,

Reference 34

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Observation 7cf7e383-1727-46e5-a0f1-8310e94482ba · outbound

This paper cites Causal inference by using invariant prediction: identification and confidence intervals,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Causal inference by using invariant prediction: identification and confidence intervals,

Reference 35

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Observation 07d83834-85c6-462f-9aa0-550d4d0c7298 · outbound

This paper cites Learning to generalize: Meta-learning for domain generalization,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Learning to generalize: Meta-learning for domain generalization,

Reference 36

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Observation c5926808-9b94-4315-b2fc-e8b6edf74937 · outbound

This paper cites Invariant Risk Minimization.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Invariant Risk Minimization

Reference 37

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This paper cites Causal intervention for weakly-supervised semantic segmentation,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Causal intervention for weakly-supervised semantic segmentation,

Reference 38

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Observation 8bfb8f1b-6124-42ce-b056-5985f8b9cd75 · outbound

This paper cites Visual commonsense R- CNN,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Visual commonsense R- CNN,

Reference 39

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Observation d2f8c2c4-a89a-4920-b1f6-30ffb24ddee0 · outbound

This paper cites On the estimation of treatment effect with text covariates,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection On the estimation of treatment effect with text covariates,

Reference 40

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Observation c692909d-d23d-4ef8-b579-8a022d195f23 · outbound

This paper cites Text and causal inference: A review of using text to remove confounding from causal estimates,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Text and causal inference: A review of using text to remove confounding from causal estimates,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.436770Z

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This paper cites Fairness and explanation in clustering and outlier detec- tion,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Fairness and explanation in clustering and outlier detec- tion,

Reference 42

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Observation 0c1bde43-7d41-419f-aac3-f31e44b174c4 · outbound

This paper cites Improving ad click prediction by considering non-displayed events,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Improving ad click prediction by considering non-displayed events,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.387842Z

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Observation 81f4a5a2-d494-46a7-8113-6f245bf5d950 · outbound

This paper cites Uncovering causal effects of online short videos on consumer behaviors,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Uncovering causal effects of online short videos on consumer behaviors,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.367595Z

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Observation 9d3ca4f6-0c0e-41a4-a20d-838c8a32d8fa · outbound

This paper cites Deconfounded recommendation for alleviating bias amplification,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Deconfounded recommendation for alleviating bias amplification,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.341306Z

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Observation ff2bd2ca-be9e-4678-be4a-8f21ef48469c · outbound

This paper cites Pearl, Causality.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Pearl, Causality

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T04:30:42.776430Z

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Observation f35dcb91-3650-497d-b85f-8075a56f56cb · outbound

This paper cites Glymour, J.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Glymour, J

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.287964Z

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Observation 202d47ac-0611-49d3-a628-53b2dc28929e · outbound

This paper cites A theory of inferred causation,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection A theory of inferred causation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.264209Z

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Observation fc4efee0-c447-4e33-99a2-28c33541b1c9 · outbound

This paper cites A general identification condition for causal effects,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection A general identification condition for causal effects,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.241880Z

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Observation 3a35bc4b-2ea4-4178-92ce-42762a8f2b54 · outbound

This paper cites Complete identification methods for the causal hierarchy,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Complete identification methods for the causal hierarchy,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.220200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 73253b93-610a-46a9-87ce-ec0039eed4d5 · outbound

This paper cites Adam: A method for stochastic optimiza- tion,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Adam: A method for stochastic optimiza- tion,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.201073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2eb6476c-883b-434d-8ed5-292a2b1139ed · outbound

This paper cites A note on two problems in connexion with graphs,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection A note on two problems in connexion with graphs,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.036069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 265ec6d4-3ba5-438f-a9cc-bf4a86be16bd · outbound

This paper cites LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T04:30:42.829108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5995a89b-82bb-4787-a67b-2573e3e6b43f · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection beta-vae: Learning basic visual concepts with a constrained variational framework,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:43.011857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cfc1b62d-f171-4c07-8868-8e6587aa083e · outbound

This paper cites Disentangling by factorising,.

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection Disentangling by factorising,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:30:42.994291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers